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Design, Optimization, Performances and Flight Operation of an All Composite Unmanned Aerial Vehicle

机译:所有复合无人空中车辆的设计,优化,性能和飞行运行

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Unmanned Aerial Vehicles (UAVs) provide the ability to perform a variety of experimental tests of systems and unproven research technologies, including new autopilot systems and obstacle avoidance capabilities, without risking the lives of human pilots. This paper describes the activities of design, optimization, and flight operations of a UAV conceived at Clarkson University (USA) and equipped to perform wind speed measurements to support wind farmsite planning. The UAV design has been assisted and validated by the use of an automatic virtual environment for the assisted design of civil UAVs. This tool can be used as a "computing machine" for civil UAVs. The operator inputs the mission profile and other generic parameters and data about performance, aerodynamics, and weight breakdown are extracted. A mathematical model of the UAV for flight simulation and its dynamic computations, along with automatic drawing is also produced. Also an optimizer based on genetic algorithms has been added to the tools, so that the UAV design can be iteratively improved in order to most effectively perform the mission selected. A detailed design of the UAV was carried out using traditional methodologies, and results compared with new tools like X-PLANE simulator. The static stability computations described are deemed to be effective since the evaluation of the UAV pilot on flying qualities correlates with predictions.
机译:无人驾驶航空公司(无人机)提供了对系统和未经证实的研究技术进行各种实验测试的能力,包括新的自动驾驶系统和避免避免能力,而不会冒着人类飞行员的生活。本文介绍了在Clarkson University(USA)构想的UAV的设计,优化和飞行业务的活动,并配备了用于支持风力速度测量以支持风力养殖计划。通过使用自动虚拟环境来帮助和验证UAV设计,以获得公民无人机的辅助设计。该工具可用作民用无人机的“计算机器”。操作员输入任务简介和其他通用参数以及有关性能,空气动力学和重量分解的数据。还产生了用于飞行模拟的无人机的数学模型及其动态计算以及自动绘图。此外,基于遗传算法的优化器已经添加到工具中,从而可以迭代地改进UAV设计,以便最有效地执行所选择的任务。使用传统方法进行了一个详细的UAV设计,与X平面模拟器等新工具相比,结果进行了结果。所描述的静态稳定性计算被认为是有效的,因为对VAV飞行员对飞行品质的评估与预测相关。

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